Reprint

Advances in Bearing Lubrication and Thermodynamics 2023

Edited by
May 2024
314 pages
  • ISBN978-3-7258-1129-8 (Hardback)
  • ISBN978-3-7258-1130-4 (PDF)
https://doi.org/10.3390/books978-3-7258-1130-4 (registering)

This book is a reprint of the Special Issue Advances in Bearing Lubrication and Thermodynamics 2023 that was published in

Chemistry & Materials Science
Engineering
Summary

Bearings are currently the most widely used mechanical component. In the process of high-speed and heavy-load operation, friction and heat generate between the rolling elements, cages, and rings. At this time, lubrication technology is integral to reducing friction and wear, facilitating heat dissipation, and extending the bearings’ life. In the last century, important research on bearing thermal analysis and corresponding lubrication technologies has been conducted. However, as the bearing speeds continue to increase, complex operation conditions pose more challenges to bearing thermal analysis. At the same time, the continuous cross-fusion of materials, sensors, big data, and emerging technologies has enabled the continuous improvement of bearing lubrication technology. This Reprint is aimed at the latest developments centered around the thermal mechanisms and lubrication technology, as well as the effect of the bearings’ working parameters on their lubrication performance and thermal behavior.

Format
  • Hardback
License
© 2024 by the authors; CC BY-NC-ND license
Keywords
double-row angular contact ball bearing; nested iterative algorithm; nonlinear stiffness; soft/hard spring stiffness characteristic; ball bearing; sliding behavior; dynamic model; geometric interaction; tapered roller bearing; profile modification; running-in method; mixed lubrication; rolling bearing; liquid-solid coupling; thermal equilibrium; temperature rise; full ceramic ball bearing; oil supply; radiated noise; sound field distribution; mathematical model; digital twin; thermal error; CNCMT; spindle; LSTM; vertical magnetic levitation system; protective bearing; collision characteristics; eccentric drop; rolling bearing; condition monitoring; DenseNet network; dual channel; feature fusion; lubricant; viscoelastic; Prony series; Anand’s model; viscosity; elastic; osciliration experiment; experimental data; numerical data; ball bearing; temperature prediction; parameter optimization; CNN; informer; thermo-elastic-hydrodynamic; gas foil thrust bearing; load capacity; thermal characteristic; multi-source; entropy weighting; chaotic particle swarm optimization algorithm; data-level fusion; feature extraction; nonlinear numerical prediction; thick top foil; subsynchronous vibrations; experimental investigation; elastohydrodynamic lubrication (EHL); flexible structure; impact load; minimum film thickness; misaligned journal bearing; angular contact ball bearing; quasi dynamics; thermal network method; roundness error